Quick Start Guide to Large Language Models (LLMs) ChatGPT, Llama, Embeddings, Fine-Tuning, and Multimodal AI

Creation Time	Feb. 9, 2025, 9:55 a.m.
Last Access Time	Feb. 22, 2025, 10:57 p.m.
File Size	4.4 GB
Keywords	and Multimodal Embeddings Fine-Tuning Language to Models LLMs Large Start AI Llama Quick ChatGPT Guide
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Total Files	113
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Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/005. 5.4 Case Study Predicting with Android App Reviews Part 2.mp4 224.3 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/006. 10.5 Instruction Alignment of LLMs Supervised Fine-Tuning.mp4 172.2 MB
Module 1 Introduction to Large Language Models/Lesson 03 First Steps with Prompt Engineering/004. 3.3 Building a Retrieval-Augmented Generation BOT with ChatGPT and GPT-4.mp4 170.8 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/008. 10.7 Instruction Alignment of LLMs RLHF.mp4 164.2 MB
Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.mp4 160.9 MB
Module 2 Getting the Most Out of LLMs/Lesson 07 Customizing Embeddings + Model Architectures/004. 7.3 Fine-tuning an Embedding Model to Capture User Behavior.mp4 152.1 MB
Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/003. 2.2 Building a Semantic Search System.mp4 148.6 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/007. 10.6 Instruction Alignment of LLMs Reward Modeling.mp4 143.8 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/007. 9.6 Aligning FLAN-T5 with Reinforcement Learning from Feedback.mp4 130.1 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/003. 10.2 BERT for Multi-label Classification Part 2.mp4 125.3 MB
Module 1 Introduction to Large Language Models/Lesson 03 First Steps with Prompt Engineering/002. 3.1 Introduction to Prompt Engineering.mp4 121.9 MB
Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/002. 1.1 What Are Large Language Models.mp4 120.9 MB
Module 2 Getting the Most Out of LLMs/Lesson 07 Customizing Embeddings + Model Architectures/003. 7.2 Using OpenAI s Embedded Models.mp4 120.6 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/009. 10.8 Instruction Alignment of LLMs Using Our Instruction-Aligned LLM.mp4 119.0 MB
Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/005. 4.4 Expanding into AI Agents.mp4 116.6 MB
Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/003. 4.2 Building a RAG bot.mp4 113.3 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/004. 9.3 Case Study Visual QA Setting Up Our Model.mp4 112.9 MB
Module 3 Advanced LLM Usage/Lesson 11 Moving LLMs into Production/003. 11.2 Knowledge Distillation.mp4 107.9 MB
Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/003. 12.2 Evaluating Generative Tasks Part 2.mp4 107.6 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/005. 9.4 Case Study Visual QA Setting Up Our Parameters and Data.mp4 105.4 MB
Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/004. 4.3 Using Open Source Models with RAG.mp4 103.6 MB
Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/004. 12.3 Evaluating Understanding Tasks.mp4 100.8 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/005. 10.4 Case Study Sinan s Attempt at Wise Yet Engaging Responses Sawye.mp4 100.1 MB
Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/003. 1.2 Popular Modern LLMs.mp4 97.9 MB
Module 2 Getting the Most Out of LLMs/Lesson 08 AI Alignment--First Principles/003. 8.2 Evaluating Alignment Plus Ethics.mp4 91.5 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/004. 10.3 Writing LaTeX with GPT-2.mp4 90.0 MB
z.quick-start-guide-to-llms-main/data/comparison_data_v2.json 77.7 MB
Module 2 Getting the Most Out of LLMs/Lesson 08 AI Alignment--First Principles/002. 8.1 Introduction to AI Alignment.mp4 72.0 MB
Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/002. 12.1 Evaluating Generative Tasks Part 1.mp4 71.5 MB
Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/002. 2.1 Introduction to Semantic Search.mp4 64.2 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/004. 6.3 Chain-of-Thought Prompting.mp4 60.1 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/006. 9.5 Introduction to Reinforcement Learning from Feedback.mp4 58.5 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/002. 10.1 BERT for Multi-label Classification Part 1.mp4 55.2 MB
Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/002. 4.1 Introduction to Retrival Augmented Generation (RAG).mp4 54.1 MB
Module 2 Getting the Most Out of LLMs/Lesson 07 Customizing Embeddings + Model Architectures/002. 7.1 Case Study Building an Anime Recommendation System.mp4 53.9 MB
Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/005. 12.4 Probing LLMs for world model.mp4 48.8 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/002. 6.1 InputOutput Validation.mp4 46.0 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/003. 6.2 Batch Prompting + Prompt Chaining.mp4 40.1 MB
Module 3 Advanced LLM Usage/Lesson 11 Moving LLMs into Production/002. 11.1 Cost Projecting and Deploying LLMs to Production.mp4 39.9 MB
Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/004. 5.3 Case Study Predicting with Android App Reviews Part 1.mp4 37.3 MB
Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/003. 5.2 The OpenAI Fine-Tuning API.mp4 29.8 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/006. 6.5 Assessing an LLM s Encoded Knowledge Level.mp4 28.0 MB
Module 3 Advanced LLM Usage/001. Module Introduction.mp4 27.5 MB
Summary/001. Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs) Summary.mp4 27.0 MB
Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/002. 5.1 Transfer Learning A Primer.mp4 26.2 MB
Introduction/001. Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs) Introduction.mp4 22.5 MB
Module 1 Introduction to Large Language Models/Lesson 03 First Steps with Prompt Engineering/003. 3.2 Working with Prompts Across Models.mp4 22.4 MB
Module 1 Introduction to Large Language Models/001. Module Introduction.mp4 22.0 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/005. 6.4 Preventing Prompt Injection Attacks.mp4 21.5 MB
Module 2 Getting the Most Out of LLMs/001. Module Introduction.mp4 19.7 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/003. 9.2 Using Cross Attention to Mix Data Modalities.mp4 17.7 MB
Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/004. 1.3 Applications of LLMs.mp4 16.3 MB
z.quick-start-guide-to-llms-main/data/pds2.pdf 16.0 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/002. 9.1 The Vision Transformer.mp4 13.3 MB
Module 1 Introduction to Large Language Models/Lesson 01 Overview of Large Language Models/001. Topics.mp4 6.0 MB
Module 3 Advanced LLM Usage/Lesson 10 Advanced Open-Source LLM Fine-Tuning/001. Topics.mp4 5.8 MB
Module 3 Advanced LLM Usage/Lesson 09 Moving Beyond Foundation Models/001. Topics.mp4 5.7 MB
Module 2 Getting the Most Out of LLMs/Lesson 08 AI Alignment--First Principles/001. Topics.mp4 5.6 MB
Module 1 Introduction to Large Language Models/Lesson 03 First Steps with Prompt Engineering/001. Topics.mp4 5.3 MB
Module 2 Getting the Most Out of LLMs/Lesson 05 Optimizing LLMs with Fine-Tuning/001. Topics.mp4 5.2 MB
Module 2 Getting the Most Out of LLMs/Lesson 07 Customizing Embeddings + Model Architectures/001. Topics.mp4 5.0 MB
Module 1 Introduction to Large Language Models/Lesson 04 Retrieval Augmented Generation + AI Agents/001. Topics.mp4 4.6 MB
Module 1 Introduction to Large Language Models/Lesson 02 Semantic Search with LLMs/001. Topics.mp4 4.3 MB
Module 3 Advanced LLM Usage/Lesson 12 LLM Evaluations/001. Topics.mp4 4.2 MB
Module 3 Advanced LLM Usage/Lesson 11 Moving LLMs into Production/001. Topics.mp4 4.0 MB
z.quick-start-guide-to-llms-main/notebooks/09_using_our_vqa.ipynb 3.5 MB
Module 2 Getting the Most Out of LLMs/Lesson 06 Advanced Prompt Engineering/001. Topics.mp4 3.3 MB
z.quick-start-guide-to-llms-main/notebooks/05_openai_app_review_fine_tuning.ipynb 2.0 MB
z.quick-start-guide-to-llms-main/notebooks/10_anime_category_classification_model_freezing.ipynb 1.6 MB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_USE_SAWYER.ipynb 1.4 MB
z.quick-start-guide-to-llms-main/notebooks/04_agent.ipynb 1.4 MB
z.quick-start-guide-to-llms-main/notebooks/06_adv_prompt_engineering.ipynb 1.1 MB
z.quick-start-guide-to-llms-main/notebooks/07_recommendation_engine.ipynb 1.1 MB
z.quick-start-guide-to-llms-main/notebooks/12_llm_gen_eval.ipynb 999.1 KB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_RLF.ipynb 756.4 KB
z.quick-start-guide-to-llms-main/notebooks/12_llm_calibration.ipynb 661.4 KB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_LLAMA_SFT.ipynb 616.6 KB
z.quick-start-guide-to-llms-main/notebooks/06_adv_prompt_engineering - DEEPSEEK.ipynb 510.1 KB
z.quick-start-guide-to-llms-main/notebooks/11_distillation_example_2.ipynb 475.1 KB
z.quick-start-guide-to-llms-main/notebooks/11_llama_quantization.ipynb 438.3 KB
z.quick-start-guide-to-llms-main/notebooks/02_semantic_search.ipynb 438.0 KB
z.quick-start-guide-to-llms-main/notebooks/12_cluster.ipynb 436.6 KB
z.quick-start-guide-to-llms-main/notebooks/09_flan_t5_rl.ipynb 430.6 KB
z.quick-start-guide-to-llms-main/notebooks/09_constructing_a_vqa_system.ipynb 326.3 KB
z.quick-start-guide-to-llms-main/notebooks/10_optimizing_fine_tuning.ipynb 313.9 KB
z.quick-start-guide-to-llms-main/notebooks/11_distillation_example_1.ipynb 310.1 KB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_Reward_Model.ipynb 232.2 KB
z.quick-start-guide-to-llms-main/images/qsllm2e.jpg 119.8 KB
z.quick-start-guide-to-llms-main/notebooks/05_bert_app_review.ipynb 101.1 KB
z.quick-start-guide-to-llms-main/notebooks/10_latex_gpt2.ipynb 65.2 KB
z.quick-start-guide-to-llms-main/images/qsllm.jpeg 63.7 KB
z.quick-start-guide-to-llms-main/notebooks/03_prompt_engineering.ipynb 35.8 KB
z.quick-start-guide-to-llms-main/images/gpt3_paper.png 30.4 KB
z.quick-start-guide-to-llms-main/notebooks/04_rag_retrieval.ipynb 25.8 KB
z.quick-start-guide-to-llms-main/data/latex-guide-cos423.txt 16.3 KB
z.quick-start-guide-to-llms-main/README.md 7.3 KB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/conversation_utils.py 5.6 KB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/api.py 5.4 KB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/README.md 3.3 KB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/chunking_utils.py 2.0 KB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/retrieval_utils.py 947 bytes
z.quick-start-guide-to-llms-main/.gitignore 285 bytes
z.quick-start-guide-to-llms-main/semantic-search-fastapi/Dockerfile 214 bytes
z.quick-start-guide-to-llms-main/semantic-search-fastapi/requirements.txt 151 bytes
z.quick-start-guide-to-llms-main/data/anime/rating_complete.csv 134 bytes
z.quick-start-guide-to-llms-main/data/chip2.csv 133 bytes
z.quick-start-guide-to-llms-main/data/pre_merged_anime.csv 132 bytes
z.quick-start-guide-to-llms-main/data/anime/pre_merged_anime.csv 132 bytes
z.quick-start-guide-to-llms-main/data/english_to_latex.csv 129 bytes
z.quick-start-guide-to-llms-main/data/anime/watching_status.csv 127 bytes
z.quick-start-guide-to-llms-main/semantic-search-fastapi/.env 121 bytes
z.quick-start-guide-to-llms-main/requirements.txt 89 bytes
z.quick-start-guide-to-llms-main/.gitattributes 42 bytes

Quick Start Guide to Large Language Models (LLMs) ChatGPT, Llama, Embeddings, Fine-Tuning, and Multimodal AI

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